Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire Moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nico Sturm (R) | X | 100.00 | 81 | 77 | 89 | 74 | 77 | 67 | 69 | 61 | 76 | 59 | 58 | 67 | 55 | 44 | 44 | 0 | 50 | 61 | 0 | 24 | 3 | 925,000$ | ||||
2 | Joachim Blichfeld (R) | X | 100.00 | 73 | 69 | 83 | 66 | 69 | 72 | 75 | 64 | 50 | 59 | 65 | 64 | 62 | 44 | 44 | 0 | 50 | 60 | 0 | 21 | 3 | 736,666$ | ||||
3 | John Quenneville | X | X | X | 100.00 | 74 | 66 | 79 | 73 | 72 | 61 | 60 | 61 | 78 | 51 | 61 | 67 | 62 | 47 | 47 | 0 | 50 | 59 | 0 | 23 | 1 | 560,000$ | ||
4 | Kieffer Bellows | X | 100.00 | 72 | 71 | 74 | 69 | 71 | 77 | 82 | 59 | 50 | 47 | 67 | 62 | 64 | 44 | 44 | 0 | 50 | 59 | 0 | 21 | 2 | 925,000$ | ||||
5 | Luke Philp (R) | X | 100.00 | 72 | 65 | 88 | 67 | 65 | 60 | 60 | 60 | 75 | 51 | 65 | 62 | 62 | 44 | 44 | 0 | 50 | 58 | 0 | 23 | 1 | 560,000$ | ||||
6 | Adam Mascherin | X | 100.00 | 75 | 73 | 80 | 61 | 73 | 66 | 70 | 53 | 50 | 51 | 51 | 62 | 48 | 44 | 44 | 0 | 50 | 55 | 0 | 21 | 2 | 650,000$ | ||||
7 | Tanner Laczynski (R) | X | 100.00 | 56 | 52 | 82 | 67 | 74 | 63 | 76 | 55 | 64 | 54 | 46 | 51 | 48 | 60 | 60 | 0 | 50 | 55 | 0 | 22 | 3 | 925,000$ | ||||
8 | Jonathan Dugan (R) | X | 100.00 | 61 | 56 | 59 | 67 | 71 | 61 | 74 | 53 | 62 | 52 | 44 | 54 | 46 | 58 | 58 | 0 | 50 | 54 | 0 | 21 | 3 | 525,000$ | ||||
9 | Scott Reedy (R) | X | 100.00 | 54 | 51 | 89 | 66 | 75 | 61 | 75 | 51 | 56 | 37 | 55 | 49 | 58 | 54 | 54 | 0 | 50 | 53 | 0 | 20 | 1 | 560,000$ | ||||
10 | Maxim Shalunov (R) | X | 100.00 | 32 | 40 | 40 | 40 | 60 | 31 | 31 | 32 | 40 | 32 | 32 | 40 | 36 | 32 | 30 | 0 | 50 | 36 | 0 | 26 | 1 | 560,000$ | ||||
11 | David Cotton (R) | X | 100.00 | 32 | 37 | 37 | 37 | 71 | 31 | 31 | 32 | 37 | 32 | 32 | 37 | 34 | 32 | 30 | 0 | 50 | 35 | 0 | 22 | 1 | 525,000$ | ||||
12 | Jordan Oesterle (C) | X | 100.00 | 72 | 42 | 92 | 77 | 67 | 73 | 82 | 63 | 25 | 52 | 47 | 69 | 25 | 61 | 61 | 0 | 50 | 64 | 0 | 27 | 1 | 2,200,000$ | ||||
13 | Brogan Rafferty (R) | X | 100.00 | 78 | 72 | 92 | 64 | 72 | 64 | 66 | 60 | 25 | 60 | 45 | 65 | 43 | 44 | 44 | 0 | 50 | 60 | 0 | 24 | 1 | 650,000$ | ||||
14 | Michael Anderson (R) | X | 100.00 | 76 | 71 | 89 | 77 | 71 | 63 | 67 | 49 | 25 | 41 | 41 | 61 | 39 | 44 | 44 | 0 | 50 | 58 | 0 | 20 | 3 | 925,000$ | ||||
15 | Leon Gawanke (R) | X | 100.00 | 76 | 72 | 86 | 63 | 72 | 68 | 72 | 54 | 25 | 52 | 41 | 63 | 39 | 44 | 44 | 0 | 50 | 58 | 0 | 20 | 4 | 796,667$ | ||||
16 | Jeremy Davies (R) | X | 100.00 | 70 | 66 | 79 | 68 | 66 | 64 | 67 | 52 | 25 | 49 | 41 | 59 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 3 | 925,000$ | ||||
17 | Dmitri Samorukov (R) | X | 100.00 | 77 | 74 | 85 | 62 | 74 | 65 | 70 | 46 | 25 | 37 | 40 | 61 | 38 | 44 | 44 | 0 | 50 | 56 | 0 | 20 | 3 | 825,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Artyom Zub (R) | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 1 | 43 | 0 | 24 | 4 | 925,000$ | ||||
2 | Jack Ahcan (R) | X | 100.00 | 41 | 45 | 45 | 45 | 55 | 39 | 39 | 41 | 45 | 41 | 41 | 45 | 43 | 32 | 30 | 0 | 50 | 41 | 0 | 22 | 2 | 825,000$ | ||||
MOYENNE D'ÉQUIPE | 100.00 | 64 | 60 | 74 | 63 | 68 | 60 | 64 | 52 | 46 | 47 | 48 | 57 | 47 | 45 | 45 | 0 | 47 | 54 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kirill Ustimenko (R) | 100.00 | 59 | 71 | 66 | 70 | 55 | 59 | 59 | 59 | 57 | 58 | 58 | 54 | 54 | 0 | 50 | 59 | 0 | |
2 | Kevin Lankinen (R) | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 1 | 44 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 52 | 58 | 56 | 58 | 50 | 52 | 52 | 52 | 51 | 52 | 52 | 50 | 50 | 0 | 26 | 52 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Joueur | Nom de l'Équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kieffer Bellows | Jayhawks (KC ) | LW | 70 | 56 | 30 | 86 | 41 | 30 | 0 | 161 | 139 | 421 | 105 | 283 | 13.30% | 18 | 1193 | 17.05 | 7 | 7 | 14 | 28 | 57 | 0 | 0 | 0 | 3 | 40 | 8 | 1 | 49.18% | 61 | 0 | 0 | 0 | 5 | 1.44 | 0 | 1 | 0 | 0 | 0 | 14 | 5 | 2 |
2 | Nico Sturm | Jayhawks (KC ) | C | 74 | 36 | 34 | 70 | 23 | 50 | 10 | 114 | 228 | 294 | 76 | 195 | 12.24% | 24 | 1091 | 14.74 | 5 | 6 | 11 | 30 | 87 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 60.90% | 1491 | 0 | 0 | 0 | 1 | 1.28 | 1 | 1 | 0 | 1 | 0 | 4 | 5 | 2 |
3 | Brogan Rafferty | Jayhawks (KC ) | D | 68 | 11 | 56 | 67 | 33 | 42 | 0 | 189 | 107 | 140 | 53 | 111 | 7.86% | 142 | 1573 | 23.14 | 7 | 11 | 18 | 79 | 168 | 0 | 2 | 2 | 0 | 151 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 5 |
4 | Luke Philp | Jayhawks (KC ) | C | 49 | 30 | 29 | 59 | 21 | 10 | 0 | 40 | 148 | 202 | 55 | 153 | 14.85% | 13 | 818 | 16.70 | 4 | 6 | 10 | 20 | 67 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 55.47% | 1170 | 0 | 0 | 0 | 1 | 1.44 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 |
5 | Joachim Blichfeld | Jayhawks (KC ) | RW | 78 | 27 | 29 | 56 | 7 | 24 | 0 | 142 | 147 | 343 | 102 | 238 | 7.87% | 23 | 1237 | 15.87 | 2 | 7 | 9 | 38 | 90 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 47.42% | 97 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 2 |
6 | Michael Anderson | Jayhawks (KC ) | D | 78 | 8 | 39 | 47 | 2 | 76 | 10 | 217 | 92 | 145 | 51 | 100 | 5.52% | 141 | 1541 | 19.77 | 4 | 10 | 14 | 63 | 139 | 0 | 0 | 0 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 2 |
7 | Jordan Oesterle | Jayhawks (KC ) | D | 46 | 4 | 32 | 36 | -2 | 14 | 0 | 75 | 73 | 81 | 31 | 57 | 4.94% | 72 | 790 | 17.18 | 0 | 2 | 2 | 5 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
8 | Leon Gawanke | Jayhawks (KC ) | D | 61 | 7 | 29 | 36 | 19 | 50 | 10 | 151 | 70 | 55 | 22 | 36 | 12.73% | 96 | 1078 | 17.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 3 |
9 | John Quenneville | Jayhawks (KC ) | C/LW/RW | 55 | 19 | 15 | 34 | 12 | 20 | 0 | 62 | 70 | 149 | 47 | 102 | 12.75% | 15 | 540 | 9.82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 60.81% | 273 | 0 | 0 | 0 | 0 | 1.26 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 2 |
10 | Adam Mascherin | Jayhawks (KC ) | LW | 53 | 8 | 18 | 26 | 16 | 28 | 10 | 67 | 37 | 102 | 25 | 71 | 7.84% | 15 | 637 | 12.02 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 49 | 0 | 0 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 |
11 | Tanner Laczynski | Jayhawks (KC ) | C | 51 | 3 | 19 | 22 | 14 | 6 | 0 | 13 | 37 | 81 | 22 | 49 | 3.70% | 7 | 612 | 12.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.55% | 193 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
12 | Jonathan Dugan | Jayhawks (KC ) | LW | 43 | 3 | 10 | 13 | 3 | 12 | 0 | 69 | 45 | 64 | 25 | 57 | 4.69% | 6 | 509 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 46.88% | 32 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
13 | Dmitri Samorukov | Jayhawks (KC ) | D | 26 | 2 | 7 | 9 | -3 | 16 | 0 | 54 | 11 | 16 | 3 | 5 | 12.50% | 24 | 394 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
14 | Scott Reedy | Jayhawks (KC ) | C | 28 | 5 | 3 | 8 | 3 | 2 | 0 | 15 | 23 | 38 | 9 | 31 | 13.16% | 4 | 290 | 10.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 130 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Jeremy Davies | Jayhawks (KC ) | D | 26 | 1 | 4 | 5 | 2 | 12 | 0 | 22 | 18 | 34 | 2 | 20 | 2.94% | 19 | 289 | 11.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
16 | Maxim Shalunov | Jayhawks (KC ) | RW | 4 | 1 | 0 | 1 | 2 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 50.00% | 0 | 65 | 16.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | David Cotton | Jayhawks (KC ) | C | 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 13 | 2 | 0 | 0 | 50.00% | 1 | 96 | 8.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.90% | 105 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Stephen Johns | Kansas City | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 0 | 0 | 2 | 1 | 0.00% | 1 | 23 | 23.35 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 823 | 222 | 354 | 576 | 192 | 392 | 40 | 1399 | 1259 | 2169 | 630 | 1509 | 10.24% | 621 | 12783 | 15.53 | 29 | 49 | 78 | 265 | 628 | 0 | 2 | 2 | 5 | 364 | 31 | 8 | 57.01% | 3610 | 0 | 0 | 0 | 7 | 0.90 | 1 | 3 | 0 | 4 | 3 | 32 | 21 | 26 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Gardien | Nom de l'Équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kirill Ustimenko | Jayhawks (KC ) | 78 | 42 | 19 | 13 | 0.922 | 3.22 | 4543 | 19 | 1 | 244 | 3145 | 0 | 2 | 2 | 0.676 | 37 | 78 | 0 | 11 | 7 | 4 |
Stats d'équipe Total ou en Moyenne | 78 | 42 | 19 | 13 | 0.922 | 3.22 | 4543 | 19 | 1 | 244 | 3145 | 0 | 2 | 2 | 0.676 | 37 | 78 | 0 | 11 | 7 | 4 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Mascherin | Jayhawks (KC ) | LW | 21 | 1998-06-05 | No | 206 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 650,000$ | 24,462$ | 65,000$ | 2,446$ | No | 650,000$ | Lien | ||||||||
Artyom Zub | Jayhawks (KC ) | D | 24 | 1995-10-03 17:43:45 | Yes | 198 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | 925,000$ | 925,000$ | |||||||
Brogan Rafferty | Jayhawks (KC ) | D | 24 | 1995-05-28 | Yes | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 650,000$ | 24,462$ | 65,000$ | 2,446$ | No | Lien | |||||||||
David Cotton | Jayhawks (KC ) | C | 22 | 1997-07-09 | Yes | 204 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 525,000$ | 19,758$ | 52,500$ | 1,976$ | No | Lien | |||||||||
Dmitri Samorukov | Jayhawks (KC ) | D | 20 | 1999-06-16 | Yes | 196 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 825,000$ | 31,048$ | 82,500$ | 3,105$ | No | 825,000$ | 825,000$ | Lien | |||||||
Jack Ahcan | Jayhawks (KC ) | D | 22 | 1997-05-18 | Yes | 184 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 825,000$ | 31,048$ | 82,500$ | 3,105$ | No | 825,000$ | Lien | ||||||||
Jeremy Davies | Jayhawks (KC ) | D | 22 | 1996-12-04 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | 925,000$ | Lien | |||||||
Joachim Blichfeld | Jayhawks (KC ) | RW | 21 | 1998-07-16 | Yes | 180 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 736,666$ | 27,723$ | 73,667$ | 2,772$ | No | 736,666$ | 736,666$ | Lien | |||||||
John Quenneville | Jayhawks (KC ) | C/LW/RW | 23 | 1996-04-16 | No | 195 Lbs | 6 ft1 | Yes | No | No | 1 | Pro & Farm | 560,000$ | 21,075$ | 56,000$ | 2,108$ | No | Lien | |||||||||
Jonathan Dugan | Jayhawks (KC ) | LW | 21 | 1998-03-24 | Yes | 192 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 525,000$ | 19,758$ | 52,500$ | 1,976$ | No | 525,000$ | 525,000$ | Lien | |||||||
Jordan Oesterle | Jayhawks (KC ) | D | 27 | 1992-06-24 | No | 182 Lbs | 6 ft0 | Yes | No | No | 1 | Pro & Farm | 2,200,000$ | 82,795$ | 220,000$ | 8,280$ | No | Lien | |||||||||
Kevin Lankinen | Jayhawks (KC ) | G | 24 | 1995-04-28 17:36:52 | Yes | 185 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 800,000$ | 30,107$ | 80,000$ | 3,011$ | No | 800,000$ | 800,000$ | 800,000$ | |||||||
Kieffer Bellows | Jayhawks (KC ) | LW | 21 | 1998-06-10 | No | 196 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | Lien | ||||||||
Kirill Ustimenko | Jayhawks (KC ) | G | 20 | 1999-01-29 | Yes | 187 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 825,833$ | 31,079$ | 82,583$ | 3,108$ | No | 825,833$ | 825,833$ | Lien | |||||||
Leon Gawanke | Jayhawks (KC ) | D | 20 | 1999-05-31 | Yes | 198 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 796,667$ | 29,982$ | 79,667$ | 2,998$ | No | 796,667$ | 796,667$ | 796,667$ | |||||||
Luke Philp | Jayhawks (KC ) | C | 23 | 1995-11-05 | Yes | 181 Lbs | 5 ft10 | Yes | No | No | 1 | Pro & Farm | 560,000$ | 21,075$ | 56,000$ | 2,108$ | No | Lien | |||||||||
Maxim Shalunov | Jayhawks (KC ) | RW | 26 | 1993-01-31 | Yes | 185 Lbs | 6 ft3 | Yes | No | No | 1 | Pro & Farm | 560,000$ | 21,075$ | 56,000$ | 2,108$ | No | Lien | |||||||||
Michael Anderson | Jayhawks (KC ) | D | 20 | 1999-05-25 | Yes | 196 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | 925,000$ | Lien | |||||||
Nico Sturm | Jayhawks (KC ) | C | 24 | 1995-05-02 | Yes | 207 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | 925,000$ | Lien | |||||||
Scott Reedy | Jayhawks (KC ) | C | 20 | 1999-04-04 | Yes | 205 Lbs | 6 ft2 | Yes | No | No | 1 | Pro & Farm | 560,000$ | 21,075$ | 56,000$ | 2,108$ | No | Lien | |||||||||
Tanner Laczynski | Jayhawks (KC ) | C | 22 | 1997-06-01 | Yes | 205 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 34,811$ | 92,500$ | 3,481$ | No | 925,000$ | 925,000$ | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
21 | 22.24 | 193 Lbs | 6 ft1 | 2.33 | 816,627$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Kieffer Bellows | Nico Sturm | Maxim Shalunov | 40 | 1 | 2 | 2 |
2 | Adam Mascherin | Luke Philp | Joachim Blichfeld | 30 | 1 | 2 | 2 |
3 | Jonathan Dugan | David Cotton | Scott Reedy | 20 | 1 | 2 | 2 |
4 | Jonathan Dugan | Scott Reedy | John Quenneville | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Jordan Oesterle | Brogan Rafferty | 40 | 1 | 2 | 2 | |
2 | Dmitri Samorukov | Michael Anderson | 30 | 1 | 2 | 2 | |
3 | Jeremy Davies | Leon Gawanke | 20 | 1 | 2 | 2 | |
4 | Leon Gawanke | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Nico Sturm | Joachim Blichfeld | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Michael Anderson | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Michael Anderson | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | Michael Anderson | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Leon Gawanke | 60 | 1 | 2 | 2 | |
2 | Michael Anderson | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, , | , |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, , | , |
Tirs de Pénalité |
---|
, , , , |
Gardien |
---|
#1 : Kirill Ustimenko, #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Admirals | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 21 | 18 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 10 | 1 | 6 | 0.750 | 21 | 38 | 59 | 0 | 0 | 130 | 105 | 65 | 7 | 152 | 1056 | 1029 | 1033 | 74 | 162 | 46 | 26 | 115 | 15 | 7 | 46.67% | 13 | 3 | 76.92% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
2 | Baby Hawks | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 130 | 105 | 65 | 7 | 114 | 1056 | 1029 | 1033 | 74 | 107 | 37 | 29 | 76 | 13 | 2 | 15.38% | 11 | 2 | 81.82% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
3 | Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 130 | 105 | 65 | 7 | 74 | 1056 | 1029 | 1033 | 74 | 76 | 29 | 14 | 52 | 9 | 2 | 22.22% | 6 | 4 | 33.33% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
4 | Bruins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 130 | 105 | 65 | 7 | 77 | 1056 | 1029 | 1033 | 74 | 96 | 35 | 21 | 56 | 5 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
5 | Cabaret Lady Mary Ann | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 130 | 105 | 65 | 7 | 136 | 1056 | 1029 | 1033 | 74 | 94 | 29 | 8 | 70 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
6 | Caroline | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 130 | 105 | 65 | 7 | 56 | 1056 | 1029 | 1033 | 74 | 76 | 19 | 6 | 38 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
7 | Chiefs | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 10 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.500 | 9 | 15 | 24 | 0 | 0 | 130 | 105 | 65 | 7 | 85 | 1056 | 1029 | 1033 | 74 | 165 | 44 | 34 | 83 | 7 | 1 | 14.29% | 15 | 5 | 66.67% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
8 | Chill | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 5 | 0.833 | 13 | 23 | 36 | 0 | 0 | 130 | 105 | 65 | 7 | 90 | 1056 | 1029 | 1033 | 74 | 132 | 32 | 16 | 69 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
9 | Comets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 130 | 105 | 65 | 7 | 105 | 1056 | 1029 | 1033 | 74 | 126 | 29 | 20 | 51 | 8 | 1 | 12.50% | 10 | 4 | 60.00% | 1 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
10 | Cougars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 130 | 105 | 65 | 7 | 76 | 1056 | 1029 | 1033 | 74 | 77 | 22 | 20 | 46 | 7 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
11 | Crunch | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 130 | 105 | 65 | 7 | 72 | 1056 | 1029 | 1033 | 74 | 84 | 34 | 12 | 54 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
12 | Heat | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 13 | 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 1.000 | 22 | 29 | 51 | 0 | 0 | 130 | 105 | 65 | 7 | 190 | 1056 | 1029 | 1033 | 74 | 156 | 50 | 16 | 100 | 12 | 1 | 8.33% | 8 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
13 | Las Vegas | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 4 | 0.400 | 11 | 19 | 30 | 0 | 0 | 130 | 105 | 65 | 7 | 158 | 1056 | 1029 | 1033 | 74 | 215 | 61 | 60 | 113 | 17 | 2 | 11.76% | 20 | 3 | 85.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
14 | Manchots | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 2 | 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 13 | 25 | 38 | 0 | 1 | 130 | 105 | 65 | 7 | 94 | 1056 | 1029 | 1033 | 74 | 76 | 20 | 8 | 60 | 7 | 4 | 57.14% | 3 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
15 | Marlies | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 12 | -4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 8 | 16 | 24 | 0 | 0 | 130 | 105 | 65 | 7 | 90 | 1056 | 1029 | 1033 | 74 | 97 | 30 | 12 | 44 | 8 | 3 | 37.50% | 5 | 2 | 60.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
16 | Minnesota | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 9 | 9 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 6 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 5 | 0.833 | 18 | 30 | 48 | 0 | 0 | 130 | 105 | 65 | 7 | 224 | 1056 | 1029 | 1033 | 74 | 108 | 41 | 10 | 69 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
17 | Monarchs | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 16 | 18 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 11 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 4 | 0.500 | 16 | 29 | 45 | 0 | 0 | 130 | 105 | 65 | 7 | 165 | 1056 | 1029 | 1033 | 74 | 219 | 69 | 46 | 112 | 12 | 4 | 33.33% | 20 | 7 | 65.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
18 | Monsters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 130 | 105 | 65 | 7 | 94 | 1056 | 1029 | 1033 | 74 | 65 | 22 | 10 | 40 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
19 | Monsters | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 3 | 0.750 | 10 | 20 | 30 | 0 | 0 | 130 | 105 | 65 | 7 | 66 | 1056 | 1029 | 1033 | 74 | 88 | 27 | 14 | 47 | 3 | 1 | 33.33% | 7 | 4 | 42.86% | 1 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
20 | Oceanics | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 130 | 105 | 65 | 7 | 67 | 1056 | 1029 | 1033 | 74 | 102 | 30 | 6 | 56 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
21 | Oil Kings | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 17 | -6 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0.125 | 11 | 21 | 32 | 1 | 0 | 130 | 105 | 65 | 7 | 144 | 1056 | 1029 | 1033 | 74 | 167 | 41 | 24 | 121 | 11 | 2 | 18.18% | 10 | 3 | 70.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
22 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 130 | 105 | 65 | 7 | 75 | 1056 | 1029 | 1033 | 74 | 88 | 19 | 14 | 56 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
23 | Rocket | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 130 | 105 | 65 | 7 | 75 | 1056 | 1029 | 1033 | 74 | 104 | 21 | 18 | 46 | 3 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
24 | Senators | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 130 | 105 | 65 | 7 | 89 | 1056 | 1029 | 1033 | 74 | 79 | 21 | 8 | 40 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
25 | Sharks | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 13 | 11 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 5 | 0.833 | 13 | 23 | 36 | 0 | 0 | 130 | 105 | 65 | 7 | 104 | 1056 | 1029 | 1033 | 74 | 108 | 31 | 23 | 84 | 10 | 6 | 60.00% | 9 | 3 | 66.67% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
26 | Sound Tigers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 130 | 105 | 65 | 7 | 90 | 1056 | 1029 | 1033 | 74 | 84 | 23 | 13 | 50 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
27 | Spiders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 130 | 105 | 65 | 7 | 83 | 1056 | 1029 | 1033 | 74 | 89 | 25 | 14 | 43 | 11 | 3 | 27.27% | 7 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
28 | Stars | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 130 | 105 | 65 | 7 | 138 | 1056 | 1029 | 1033 | 74 | 106 | 19 | 14 | 71 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
29 | Thunder | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 5 | 10 | 0 | 0 | 130 | 105 | 65 | 7 | 80 | 1056 | 1029 | 1033 | 74 | 63 | 22 | 17 | 46 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
Total | 78 | 42 | 20 | 0 | 0 | 6 | 2 | 8 | 302 | 264 | 38 | 39 | 22 | 8 | 0 | 0 | 3 | 1 | 5 | 158 | 128 | 30 | 39 | 20 | 12 | 0 | 0 | 3 | 1 | 3 | 144 | 136 | 8 | 102 | 0.654 | 302 | 532 | 834 | 2 | 1 | 130 | 105 | 65 | 7 | 3152 | 1056 | 1029 | 1033 | 74 | 3274 | 944 | 542 | 1959 | 229 | 48 | 20.96% | 232 | 54 | 76.72% | 2 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 | |
30 | Wolf Pack | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 130 | 105 | 65 | 7 | 89 | 1056 | 1029 | 1033 | 74 | 65 | 16 | 9 | 51 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
_Since Last GM Reset | 78 | 42 | 20 | 0 | 0 | 6 | 2 | 8 | 302 | 264 | 38 | 39 | 22 | 8 | 0 | 0 | 3 | 1 | 5 | 158 | 128 | 30 | 39 | 20 | 12 | 0 | 0 | 3 | 1 | 3 | 144 | 136 | 8 | 102 | 0.654 | 302 | 532 | 834 | 2 | 1 | 130 | 105 | 65 | 7 | 3152 | 1056 | 1029 | 1033 | 74 | 3274 | 944 | 542 | 1959 | 229 | 48 | 20.96% | 232 | 54 | 76.72% | 2 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 | |
_Vs Conference | 40 | 23 | 12 | 0 | 0 | 3 | 0 | 2 | 147 | 128 | 19 | 20 | 12 | 5 | 0 | 0 | 2 | 0 | 1 | 79 | 62 | 17 | 20 | 11 | 7 | 0 | 0 | 1 | 0 | 1 | 68 | 66 | 2 | 51 | 0.638 | 147 | 252 | 399 | 1 | 0 | 130 | 105 | 65 | 7 | 1639 | 1056 | 1029 | 1033 | 74 | 1673 | 474 | 285 | 985 | 101 | 12 | 11.88% | 123 | 28 | 77.24% | 2 | 1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% | 1849 | 1291 | 1900 | 560 | 998 | 501 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
78 | 102 | SOL1 | 302 | 532 | 834 | 3152 | 3274 | 944 | 542 | 1959 | 2 | 1 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
78 | 42 | 20 | 0 | 6 | 2 | 8 | 302 | 264 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
39 | 22 | 8 | 0 | 3 | 1 | 5 | 158 | 128 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
39 | 20 | 12 | 0 | 3 | 1 | 3 | 144 | 136 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 0 | 0 | 0 | 1 |
Tentatives en Avantage Numérique | Buts en Avantage Numérique | % en Avantage Numérique | Tentatives en Désavantage Numérique | Buts Contre en Désavantage Numérique | % en Désavantage Numérique | Buts Pour en Désavantage Numérique |
---|---|---|---|---|---|---|
229 | 48 | 20.96% | 232 | 54 | 76.72% | 2 |
Tirs en 1e Période | Tirs en 2e Période | Tirs en 3e Période | Tirs en 4e Période | Buts en 1e Période | Buts en 2e Période | Buts en 3e Période | Buts en 4e Période |
---|---|---|---|---|---|---|---|
1056 | 1029 | 1033 | 74 | 130 | 105 | 65 | 7 |
Mises en Jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
1376 | 2844 | 48.38% | 1335 | 3013 | 44.31% | 625 | 1363 | 45.85% |
Temps Avec la Rondelle | |||||
---|---|---|---|---|---|
En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
1849 | 1291 | 1900 | 560 | 998 | 501 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 50 | 20 |
Assistance | 47,373 | 25,575 |
Assistance PCT | 60.73% | 65.58% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe | 2 | 1870 - 62.35% | 73,850$ | 2,880,150$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
2,146,491$ | 1,714,917$ | 1,714,917$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
9,220$ | 2,146,491$ | 21 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
147,700$ | 7 | 9,220$ | 64,540$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |